[0001] The present invention relates to a field of industrial automation, and more particularly
relates to a method and system for managing a technical installation during occurrence
of an error state in a controller device of the technical installation.
[0002] A technical installation such as an industrial plant comprises a plurality of field
devices which are controlled by a plurality of controller devices such as programmable
logic controllers, edge devices, and edge controllers. Examples of the plurality of
field devices includes but is not limited to, control valves, motors, pumps, and actuators.
Each of the plurality of controller devices is configured to control one or more field
devices of the plurality of field devices. If a controller device of the plurality
of controller devices enter an error state, a functioning of the controller device
is hampered. Thus, functioning of the one or more field devices controlled by the
controller device is also hampered, thus resulting in a downtime in the industrial
plant.
[0003] In light of the above, there exists a need for an efficient and cost-effective method
and system for managing a technical installation during occurrence of an error state
in a controller device of the technical installation. Therefore, it is an object of
the present invention to provide a method and system for managing a technical installation
during occurrence of an error state in a controller device of the technical installation.
[0004] The object of the invention is achieved by a method and system for managing a technical
installation during occurrence of an error state in a controller device of the technical
installation. The technical installation comprises a plurality of field devices and
a plurality of controller devices. Examples of the plurality of controller devices
comprises an edge device, a programmable logic controller device, a microprocessor
or a processing unit. Each of the plurality of controller device is configured to
execute an engineering program to control a plurality of field devices in the technical
installation. In one example, the plurality of controller devices comprise one or
more edge controllers. Examples of the plurality of field devices include, but is
not limited to field devices such as control valves, motors, pumps, robots, lathes,
sensors, and actuators. The plurality of field devices further comprises a pressure
sensor, a temperature sensor and a vibration sensor. Further examples of the plurality
of field devices comprises human machine interfaces such as keyboards, mouses, and
touchscreens and a plurality of client devices such as a smartphone, a desktop computer,
and a tablet computer which are network-connected to the plurality of controller devices.
Examples of the technical installation includes a manufacturing plant, a power plant,
or a chemical processing plant.
[0005] In a preferred embodiment, the method comprises receiving, by a processing unit,
a plurality of program execution parameters from each of a plurality of controller
devices in the technical installation. The plurality of program execution parameters,
received from a controller device, comprises information about runtime execution of
an engineering program in the controller device. For example, the plurality of program
execution parameters comprises runtime information such as information about memory
fragmentation, scan cycle nature, system resource utilization, and memory utilization
of the controller device during the execution of the engineering program in the controller
device. The engineering program comprises a plurality of programming blocks, each
of which comprises one or more programming instructions. In one example, the engineering
program is a graphical program comprising a program logic. The engineering program
comprises a set of programmable instructions or statements corresponding to the program
logic. Each programming block of the plurality of programming blocks corresponds to
a function block under an engineering design of the technical installation.
[0006] In the preferred embodiment, the method comprises determining, by the processing
unit, an error state in a first controller device of the plurality of controller devices.
The error state is determined based on an analysis of the received plurality of program
execution parameters. The first controller device is determined to be in the error
state in a case where the first controller device has halted the execution of the
engineering program. In one example, the processing unit is configured to compare
one or more program execution parameters of the received plurality of program execution
parameters with one or more thresholds stored in a memory. The one or more program
execution parameters are received from the first controller device during execution
of the engineering program in the first programable logic controller. In a case where
the one or more program execution parameters crosses the one or more thresholds, then
the first controller device is determined to be in the error state. In another example,
the processing unit is configured to apply a pattern recognition machine learning
model on the one or more program execution parameters to determine the error state
in the first controller device. To train the pattern recognition machine learning
model, historical data comprising a set of program execution parameters received from
the plurality of controller devices during a specific time interval is analyzed by
the processing unit. The processing unit is further configured to identify a plurality
of patterns in the set of program execution parameters based on the analysis. Furthermore,
the processing unit is further configured to identify a plurality of relationships
between the set of program execution parameters and an error state of one or more
of the plurality of controller devices. Thus, the pattern recognition machine learning
model is configured to recognize the plurality of patterns in the plurality of program
execution parameters and determine that the first controller device is in the error
state. Examples of the pattern recognition machine learning model includes but is
not limited to a supervised learning model, and an unsupervised learning model.
[0007] In the preferred embodiment, the method comprises determining from a plurality of
fail-safe logic, by the processing unit, a fail-safe logic associated with the first
controller device based on the determination of the error state in the first controller
device. In one example, each fail-safe logic of the plurality of fail-safe logics
has an identification number which denotes a controller device which is associated
with the fail-safe logic. Thus, the processing unit is configured to determine the
fail-safe logic based on an identification number of the fail-safe logic which matches
with an identification number of the first controller device. In one example, the
plurality of fail-safe logic comprises a plurality of programming instructions which
are configured to manage the plurality of field devices in the technical installation.
Each fail-safe logic of the plurality of fail-safe logics is associated with a specific
controller device of the plurality of controller devices. The fail-safe logic associated
with the first controller device comprises a set of programming instructions which
are configured to manage one or more field devices which are controlled by the first
programming logic controller. The fail-safe logic may be executed any of the plurality
of controller device to manage the one or more field devices.
[0008] In the preferred embodiment, the method further comprises determining, by the processing
unit, that the second controller device is not in an error state based on the analysis
of the received program execution parameters. For example, in a case where one or
more program execution parameters of the second controller device does not cross the
one or more thresholds, then the second controller device is determined to be not
in the error state. In another example, the second controller device is determined
to be not in the error state by the pattern recognition machine learning model.
[0009] In the preferred embodiment, the method further comprises transmitting, by the processing
unit, the fail-safe logic to the second controller device based on the determination
that the second controller device is not in the error state. The processing unit is
configured to transmit the determined fail-safe logic to the second controller device
via a network.
[0010] In the preferred embodiment, the method comprises establishing, by the processing
unit (202), a connection path between the second controller device and the one or
more field devices associated with the first controller device. In one example, the
processing unit is configured to establish the connection path via the network.
[0011] In a preferred embodiment, the method comprises initiating, by the processing unit,
an execution of the fail-safe logic associated with the first controller device, in
a second controller device of the plurality of controller devices. For example, the
processing unit is configured to transmit a request to the second controller device
via the network. The request is to initiate the execution of the fail-safe logic in
the second programmable controller. The second programmable controller thus executes
the fail-safe logic to control the one or more field devices associated with the first
controller device. Advantageously, the one or more field devices are controlled and
managed even when the first controller device is in the error state. Thus, the processing
unit 202 seamlessly transfer control of the one or more field devices from the first
controller device to the second controller device, thus avoiding downtime in the technical
installation.
[0012] In the preferred embodiment, the method comprises halting, by the processing unit,
a runtime of the first controller device based on the determination of the error state
of the first controller device. In one example, the processing unit is configured
to transmit a halt command to the first controller device to halt the runtime of the
first controller device. In one example, when the first controller device is halted,
the first controller device terminates the execution of the engineering program. Advantageously,
the first controller device halts transmitting erroneous output to the one or more
field devices.
[0013] In the preferred embodiment, the method comprises halting, by the processing unit
(202), the one or more field devices based on the determination of the error state
in the first controller device. In one example, when the one or more field devices
are halted, a functioning of the one or more field devices is stopped. Furthermore,
the processing unit is further configured to notify the user that the first controller
device is in error state. Furthermore, the user is enabled to resolve the error state
of the first controller device by debugging the engineering program.
[0014] In the preferred embodiment, the method comprises determining, by the processing
unit, that the error state of the first controller device is resolved based on an
analysis of the received plurality of program execution parameters. To determine that
the error state is resolved, the processing unit is configured to determine that the
received plurality of program execution parameters is within the plurality of thresholds.
Advantageously, the first controller device resumes the execution of the engineering
program once one or more errors in the engineering program are resolved.
[0015] In the preferred embodiment, the method further comprises resuming, by the processing
unit, the runtime of the first controller device based on the determination that the
error state of the first controller device is resolved. In a case where is it is determined
that the error state is resolved, the processing unit is configured to transmit a
trigger to the first controller device to resume the runtime execution of the engineering
program.
[0016] In the preferred embodiment, the method further comprises determining, by the processing
unit, a count of times in which the error state is determined in the first controller
device during a time interval. In the preferred embodiment, the method further comprises
notifying, by the processing unit, a user about the determined count of times. Advantageously,
the user is enabled to evaluate a performance of the first controller device.
[0017] In one example, the plurality of program execution parameters comprises information
about a programming block, of the engineering program, which is executed by the first
controller device at a specific time interval. In the preferred embodiment, the method
further comprises determining, by the processing unit, the programming block of an
engineering program which is executed by the first controller device at the specific
time interval based on the analysis of the plurality of program execution parameters.
[0018] In the preferred embodiment, the method further comprises determining, by the processing
unit, whether the error state occurred, in the first controller device, during an
execution of the determined programming block. In the preferred embodiment, the method
further comprises notifying, by the processing unit, the user that the error state,
occurred in the first controller device, during the execution of the determined programming
block by the first controller device.
[0019] In the preferred embodiment, the method further comprises executing, by the processing
unit (202), a handling logic to control the one or more field devices in an event
when the error state is determined in the first programable logic controller. The
handling logic comprises a set of programming instructions which are configured to
manage one or more field devices which are controlled by the first programming logic
controller. The handling logic is executable by the processing unit.
[0020] The object of the present invention is also achieved by an industrial control system
for managing a technical installation during occurrence of an error state in a controller
device. The industrial control system comprises a processing unit and a memory coupled
to the processing unit. The memory comprises a Plant safety administrator module stored
in the form of machine-readable instructions executable by the processor. The Plant
safety administrator module is configured for performing the method as described above.
[0021] The object of the present invention is also achieved by an industrial environment.
The industrial environment comprising an industrial control system, a technical installation
comprising one or more physical components and a plurality of human machine interfaces
communicatively coupled to the industrial control system and the technical installation.
The industrial control system is configured to perform the above-described method
steps.
[0022] The object of the present invention is also achieved by a computer-program product
having machine-readable instructions stored therein, that when executed by one or
more processor(s), cause the one or more processor(s) to perform method steps as described
above.
[0023] The above-mentioned and other features of the invention will now be addressed with
reference to the accompanying drawings of the present invention. The illustrated embodiments
are intended to illustrate, but not limit the invention.
[0024] The present invention is further described hereinafter with reference to illustrated
embodiments shown in the accompanying drawings, in which:
- FIG 1
- is a block diagram of an industrial environment capable of managing a technical installation
during occurrence of an error state in a controller device of the technical installation,
according to an embodiment of the present invention;
- FIG 2
- is a block diagram of an industrial control system, such as those shown in FIG. 1,
in which an embodiment of the present invention can be implemented;
- FIG 3
- is a block diagram of a Plant safety administrator module, such as those shown in
FIG 2, in which an embodiment of the present invention can be implemented;
- FIGS 4A-D
- is a process flowchart illustrating an exemplary method of managing a technical installation
during occurrence of an error state in a controller device of the technical installation,
according to an embodiment of the present invention;
[0025] Various embodiments are described with reference to the drawings, wherein like reference
numerals are used to refer the drawings, wherein like reference numerals are used
to refer to like elements throughout. In the following description, for the purpose
of explanation, numerous specific details are set forth in order to provide thorough
understanding of one or more embodiments. It may be evident that such embodiments
may be practiced without these specific details.
[0026] FIG 1 is a block diagram of an industrial environment 100 capable of managing a technical
installation 106 during occurrence of an error state in a controller device of the
technical installation 106, according to an embodiment of the present invention. In
FIG 1, the industrial environment 100 includes an industrial control system 102, a
technical installation 106 and plurality of human machine interfaces 120A-N. As used
herein, "industrial environment" refers to a processing environment comprising configurable
computing physical and logical resources, for example, networks, servers, storage,
applications, services, etc., and data distributed over a platform, such as cloud
computing platform. The industrial environment 100 provides on-demand network access
to a shared pool of the configurable computing physical and logical resources. The
industrial control system 102 is communicatively connected to the technical installation
106 via a network connection 104 (such as Local Area Network (LAN), Wide Area Network
(WAN), Wi-Fi, Internet, any short range or wide range communication). The industrial
control system 102 is also connected to the plurality of human machine interfaces
120A-N via the network connection 104.
[0027] The industrial control system 102 is connected to a plurality of field devices 126A-N
in the technical installation 106 via the network connection 104. The plurality of
field devices 126A-N may include servers, robots, switches, automation devices, programmable
logic controllers (PLC)s, human machine interfaces (HMIs), motors, valves, pumps,
actuators, sensors and other industrial equipment(s). The plurality of field devices
126A-N may be connected to each other or several other components (not shown in FIG
1) via physical connections. The physical connections may be through wiring between
the plurality of field devices 126A-N. Alternatively, the plurality of field devices
126A-N may also be connected via non-physical connections (such as Internet of Things
(IOT)) and 5G networks. Although FIG 1 illustrates the industrial control system 102
connected to one technical installation 106, one skilled in the art can envision that
the industrial control system 102 can be connected to several technical installations
located at different geographical locations via the network connection 104. The plurality
of field devices 126A-N further comprises sensors such as a pressure sensor, a voltage
sensor, a temperature sensor, and a vibration sensor. In such a case, the plurality
of field devices 126A-N takes one or more measurements from the technical installation
106. The one or more measurements comprises a temperature measurement, a pressure
measurement, and a vibration measurement.
[0028] The technical installation 106 further comprises a plurality of controller devices
108A-N. Examples of the plurality of controller devices 108A-N comprises, but is not
limited to controller devices such as controller devices, microprocessors, and other
processing units. The plurality of controller devices 108A-N is configured to execute
an engineering program stored in the industrial control system 102, in a plurality
of scan cycles. The plurality of controller devices 108A-N is configured to receive
a plurality of input parameter values from the plurality of field devices 126A-N.
The plurality of controller devices 108A-N is further configured to transmit a plurality
of output parameter values to the plurality of field devices 126A-N. Each of the plurality
of field devices 126A-N are connected to one or more of the plurality of controller
devices 108A-N via the network connection 104. Each of the plurality of controller
devices 108A-N is configured to control one or more field devices of the plurality
of field devices 126A-N. For example, a first controller device 108A is configured
to control a first field device 126A and a second field device 126N of the plurality
of field devices 126A-N.
[0029] The plurality of human machine interfaces 120A-N may be a desktop computer, laptop
computer, tablet, smart phone and the like. Each of the plurality of human machine
interfaces 120A-N is provided with an engineering tool 122A-N for generating and/or
editing engineering programs respectively. The plurality of human machine interfaces
120A-N can access the industrial control system 102 for automatically generating engineering
programs. The plurality of human machine interfaces 120A-N can access cloud applications
(such as providing performance visualization of the plurality of field devices 126A-N
via a web browser). Throughout the specification, the terms "human machine interface",
"client device" and "user device" are used interchangeably. One or more of the plurality
of human machine interfaces 120A-N are further configured to receive a plurality of
user actions from a plurality of users. The plurality of user actions comprises user
inputs, user commands, user gestures, programming instructions, and user passwords.
The plurality of user actions are entered by the plurality of users to perform one
or more tasks using the plurality of controller devices 108A-N and the plurality of
field devices 126A-N.
[0030] It is noted that the industrial control system 102 is connected to the controller
device 124. Examples of the controller device 124 comprises, but is not limited to
controller devices, microprocessors, and other processing units. The controller device
124 is configured to execute the engineering program generated by the industrial control
system 102, in a plurality of scan cycles. The controller device 124 is configured
to receive a plurality of input parameter values from the plurality of sensor devices
126A-N and the plurality of human machine interfaces 120A-N. The controller device
124 is further configured to transmit a plurality of output parameter values to the
plurality of field devices 108A-N and the plurality of human machine interfaces.
[0031] The industrial control system 102 may be a standalone server deployed at a control
station or may be a remote server on a cloud computing platform. In a preferred embodiment,
the industrial control system 102 may be a cloud-based industrial control system.
The industrial control system 102 is capable of delivering applications (such as cloud
applications) for managing a technical installation 106 comprising plurality of field
devices 108A-N. The industrial control system 102 may comprise a digitalization platform
110 (such as a cloud computing platform), a plant safety administrator module 112,
a server 114 including hardware resources and an operating system (OS), a network
interface 116 and a database 118. The network interface 116 enables communication
between the industrial control system 102, the technical installation 106, the plurality
of human machine interfaces 120A-N, the plurality of field devices 126A-N, and the
plurality of controller device 108A-N. The interface, for example, a cloud interface
(not shown in FIG 1) may allow the engineers at the plurality of field devices 126A-N
to access the plurality of controller device 108A-N and execute a plurality of user
actions on the controller device 124 and the plant safety administrator module 112.
[0032] The server 114 may include one or more servers on which the OS is installed. The
servers 114 may comprise one or more processors, one or more storage devices, such
as, memory units, for storing data and machine-readable instructions for example,
applications and application programming interfaces (APIs), and other peripherals
required for providing computing (such as cloud computing) functionality. In one example,
the digitalization platform 110 may be implemented in the server 114. The digitalization
platform 110 enables functionalities such as data reception, data processing, data
rendering, data communication, etc. using the hardware resources and the OS of the
servers 114 and delivers the aforementioned services using the application programming
interfaces deployed therein. The digitalization platform 110 may comprise a combination
of dedicated hardware and software built on top of the hardware and the OS. In an
exemplary embodiment, the digitalization platform 110 may correspond to an Integrated
Development Environment (IDE) comprising program editors and compilers which allow
the users of the plurality of human machine interfaces 120A-N to generate engineering
programs. The digitalization platform 110 may further comprise the plant safety administrator
module 112 configured for enabling management of the technical installation 106 during
occurrence of an error state of at least one controller device of the plurality of
controller devices 108A-N. Details of the plant safety administrator module 112 is
explained in FIG. 3.
[0033] The database 118 stores the information relating to the technical installation 106,
the plurality of controller devices 108A-N, the plurality of field devices 126A-N,
the plurality of human machine interfaces 120A-N. The database 118 is, for example,
a structured query language (SQL) data store or a not only SQL (NoSQL) data store.
In an exemplary embodiment, the database 118 may be configured as cloud-based database
implemented in the industrial environment 100, where computing resources are delivered
as a service over the platform 110. The database 118, according to another embodiment
of the present invention, is a location on a file system directly accessible by the
plant safety administrator module 112.
[0034] In one example, the plant safety administrator module 112 is implemented in a controller
device 124 which is configured to manage the technical installation 106 during occurrence
of an error state in the first controller device 108A. The controller device 124 is
communicatively coupled to the plurality of controller devices 108A-N, the plurality
of field devices 126A-N, and the industrial control system 102. In one example, a
user is enabled to write programing code in the controller device 124 using the plurality
of human machine interfaces 120A-N.
[0035] FIG 2 is a block diagram of an industrial control system 102, such as those shown
in FIG 1, in which an embodiment of the present invention can be implemented. In FIG
2, the industrial control system 102 includes a processing unit 202, an accessible
memory 204, a storage unit 206, a communication interface 208, an input-output unit
210, a network interface 212 and a bus 214.
[0036] The processing unit 202, as used herein, means any type of computational circuit,
such as, but not limited to, a microprocessor unit, microcontroller, complex instruction
set computing microprocessor unit, reduced instruction set computing microprocessor
unit, very long instruction word microprocessor unit, explicitly parallel instruction
computing microprocessor unit, graphics processing unit, digital signal processing
unit, or any other type of processing circuit. The processing unit 202 may also include
embedded controllers, such as generic or programmable logic devices or arrays, application
specific integrated circuits, single-chip computers, and the like.
[0037] The memory 204 may be non-transitory volatile memory and nonvolatile memory. The
memory 204 may be coupled for communication with the processing unit 202, such as
being a computer-readable storage medium. The processing unit 202 may execute machine-readable
instructions and/or source code stored in the memory 204. A variety of machine-readable
instructions may be stored in and accessed from the memory 204. The memory 204 may
include any suitable elements for storing data and machine-readable instructions,
such as read only memory, random access memory, erasable programmable read only memory,
electrically erasable programmable read only memory, a hard drive, a removable media
drive for handling compact disks, digital video disks, diskettes, magnetic tape cartridges,
memory cards, and the like. In the present embodiment, the memory 204 includes an
integrated development environment (IDE) 216. The IDE 216 includes the data acquisition
and analytics module 112 stored in the form of machine-readable instructions on any
of the above-mentioned storage media and may be in communication with and executed
by the processor(s) 202.
[0038] When executed by the processing unit 202, the Plant safety administrator module 112
causes the processing unit 202 to receive a plurality of program execution parameters
from each of the plurality of controller devices 108A-N in the technical installation.
The plurality of program execution parameters, received from a controller device,
comprises information about runtime execution of an engineering program in the controller
device. For example, the plurality of program execution parameters comprises runtime
information such as information about memory fragmentation, scan cycle nature, system
resource utilization, and memory utilization of the controller device during the execution
of the engineering program in the controller device. The engineering program comprises
a plurality of programming blocks, each of which comprises one or more programming
instructions. In one example, the engineering program is a graphical program comprising
a program logic such as an engineering program. The engineering program comprises
a set of programmable instructions or statements corresponding to the program logic.
Each programming block of the plurality of programming blocks corresponds to a function
block under an engineering design of the technical installation 106.
[0039] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine an error state in the first controller
device 108A of the plurality of controller devices 108A-N. The error state is determined
based on an analysis of the received plurality of program execution parameters. The
first controller device 108A is determined to be in the error state in a case where
the first controller device 108A has halted the execution of the engineering program.
In one example, the processing unit 202 is configured to compare one or more program
execution parameters of the received plurality of program execution parameters with
one or more thresholds stored in a memory such as the accessible memory 204. The one
or more program execution parameters are received from the first controller device
108A during execution of the engineering program in the first programable logic controller
108A. In a case where the one or more program execution parameters crosses the one
or more thresholds, then the first controller device 108A is determined to be in the
error state. In another example, the processing unit 202 is configured to apply a
pattern recognition machine learning model on the one or more program execution parameters
to determine the error state in the first controller device 108A. To train the pattern
recognition machine learning model, historical data comprising a set of program execution
parameters received from the plurality of controller devices during a specific time
interval is analyzed by the processing unit 202. The processing unit 202 is further
configured to identify a plurality of patterns in the set of program execution parameters
based on the analysis. Furthermore, the processing unit 202 is further configured
to identify a plurality of relationships between the set of program execution parameters
and an error state of one or more controller devices of the plurality of controller
devices 108A-N. Thus, the pattern recognition machine learning model is configured
to recognize the plurality of patterns in the plurality of program execution parameters
and determine that the first controller device 108A is in the error state. Examples
of the pattern recognition machine learning model includes but is not limited to a
supervised learning model, and an unsupervised learning model.
[0040] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine from a plurality of fail-safe
logic a fail-safe logic associated with the first controller device based on the determination
of the error state in the first controller device. In one example, each fail-safe
logic of the plurality of fail-safe logics has an identification number which denotes
a controller device which is associated with the fail-safe logic. Thus, the processing
unit 202 is configured to determine the fail-safe logic based on an identification
number of the fail-safe logic which matches with an identification number of the first
controller device. In one example, the plurality of fail-safe logic comprises a plurality
of programming instructions which are configured to manage the plurality of field
devices 126A-N in the technical installation 106. Each fail-safe logic of the plurality
of fail-safe logics is associated with a specific controller device of the plurality
of controller devices 108A-N. The fail-safe logic associated with the first controller
device 108A comprises a set of programming instructions which are configured to manage
one or more field devices (126A and 126B) which are controlled by the first programming
logic controller 108A. The fail-safe logic may be executed any of the plurality of
controller devices 108A-N to manage the one or more field devices 126A and 126B.
[0041] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine that a second controller device
108B of the plurality of controller device 108A-N is not in an error state based on
the analysis of the received plurality of program execution parameters. For example,
in a case where one or more program execution parameters of the second controller
device 108B does not cross the one or more thresholds, then the second controller
device 108B is determined to be not in the error state. In another example, the second
controller device 108B is determined to be not in the error state by the pattern recognition
machine learning model.
[0042] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to transmit the fail-safe logic to the second
controller device 108B based on the determination that the second controller device
108B is not in the error state. The processing unit 202 is configured to transmit
the determined fail-safe logic to the second controller device 108B via the network
104.
[0043] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to establish a connection path between the
second controller device 108B and the one or more field devices (126A and 126B) associated
with the first controller device 108A. In one example, the processing unit 202 is
configured to establish the connection path via the network 104.
[0044] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to initiate the execution of the fail-safe
logic associated with the first controller device 108A, in the second controller device
108B of the plurality of controller devices 108A-N. For example, the processing unit
202 is configured to transmit a request to the second controller device 108B via the
network 104. The request is to initiate the execution of the fail-safe logic in the
second programmable controller 108B.
[0045] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to halt an execution of the engineering program
by the first controller device 108A based on the determination of the error state
of the first controller device 108A. In one example, the processing unit is configured
to transmit a halt command to the first controller device 108A to halt the runtime
of the first controller device 108A. In one example, when the first controller device
108A is halted, the first controller device 108A terminates the execution of the engineering
program.
[0046] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to halt the one or more field devices (126A
and 126B) based on the determination of the error state in the first controller device
108A. In one example, when the one or more field devices (126A and 126B) are halted,
a functioning of the one or more field devices (126A and 126B) is stopped. Furthermore,
the processing unit 202 is further configured to notify the user that the first controller
device 108A is in the error state. Furthermore, the user is enabled to resolve the
error state of the first controller device 108A by debugging the engineering program.
[0047] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine that the error state of the first
controller device is resolved based on an analysis of the received plurality of program
execution parameters. To determine that the error state is resolved, the processing
unit 202 is configured to determine that the received plurality of program execution
parameters is within the plurality of thresholds.
[0048] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to resume the runtime of the first controller
device 108A based on the determination that the error state of the first controller
device 108A is resolved. In a case where is it is determined that the error state
is resolved, the processing unit 202 is configured to transmit a trigger to the first
controller device 108A to resume the runtime execution of the engineering program.
[0049] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine a count of times in which the
error state is determined in the first controller device 108A during a time interval.
When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to notify a user about the determined count
of times via the plurality of human machine interfaces 120A-N.
[0050] In one example, the plurality of program execution parameters comprises information
about a programming block, of the engineering program, which is executed by the first
controller device 108A at a specific time interval. When executed by the processing
unit 202, the Plant safety administrator module 112 further causes the processing
unit 202 to determine a programming block of an engineering program which is executed
by the first controller device 108A at the specific time interval based on the analysis
of the plurality of program execution parameters.
[0051] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to determine whether the error state occurred,
in the first controller device 108A, during an execution of the determined programming
block. When executed by the processing unit 202, the Plant safety administrator module
112 further causes the processing unit 202 to notify the user that the error state,
occurred in the first controller device, during the execution of the determined programming
block by the first controller device 108A.
[0052] When executed by the processing unit 202, the Plant safety administrator module 112
further causes the processing unit 202 to execute a handling logic to control the
one or more field devices 126A-B in an event when the error state is determined in
the first programable logic controller 108A. The handling logic comprises a set of
programming instructions which are configured to manage one or more field devices
which are controlled by the first programming logic controller. The handling logic
is executable by the processing unit 202.
[0053] The communication interface 208 is configured for establishing communication sessions
between the plurality of human machine interfaces 120A-N, the industrial control system
102, and the controller device 124. The communication interface 208 allows the one
or more engineering applications running on the plurality of human machine interfaces
120A-N to import/export engineering programs into the controller device 124. In an
embodiment, the communication interface 208 interacts with the interface at the plurality
of human machine interfaces 120A-N for allowing the engineers to access the engineering
programs associated with an engineering project file and perform one or more actions
on the engineering programs stored in the industrial control system 102.
[0054] The input-output unit 210 may include input devices a keypad, touch-sensitive display,
camera (such as a camera receiving gesture-based inputs), etc. capable of receiving
one or more input signals, such as user commands to process engineering project file.
Also, the input-output unit 210 may be a display unit for displaying a graphical user
interface which visualizes the behavior model associated with the modified engineering
programs and also displays the status information associated with each set of actions
performed on the graphical user interface. The set of actions may include execution
of predefined tests, download, compile and deploy of graphical programs. The bus 214
acts as interconnect between the processor 202, the memory 204, and the input-output
unit 210.
[0055] The network interface 212 may be configured to handle network connectivity, bandwidth
and network traffic between the industrial control system 102, plurality of human
machine interfaces 120A-N and the technical installation 106.
[0056] Those of ordinary skilled in the art will appreciate that the hardware depicted in
FIG 2 may vary for particular implementations. For example, other peripheral devices
such as an optical disk drive and the like, Local Area Network (LAN), Wide Area Network
(WAN), Wireless (e.g., Wi-Fi) adapter, graphics adapter, disk controller, input/output
(I/O) adapter also may be used in addition or in place of the hardware depicted. The
depicted example is provided for the purpose of explanation only and is not meant
to imply architectural limitations with respect to the present disclosure.
[0057] Those skilled in the art will recognize that, for simplicity and clarity, the full
structure and operation of all data processing systems suitable for use with the present
disclosure is not being depicted or described herein. Instead, only so much of an
industrial control system 102 as is unique to the present disclosure or necessary
for an understanding of the present disclosure is depicted and described. The remainder
of the construction and operation of the industrial control system 102 may conform
to any of the various current implementation and practices known in the art.
[0058] FIG 3 is a block diagram of the plant safety administrator module 112, such as those
shown in FIG 2, in which an embodiment of the present invention can be implemented.
In FIG 3, plant safety administrator module 112 comprises a request handler module
302, a controller device selector module 304, an analysis module 306, a modifier module
308, an engineering object database 310, a validation module 312 and a deployment
module 314. FIG. 3 is explained in conjunction with FIG. 1 and FIG. 2.
[0059] The request handler module 302 is configured for receiving the request to manage
the technical installation 106. For example, the request is received from one of the
one or more users external to the industrial environment 100 via a network. In alternative
embodiment, the request is received from the one or the plurality of human machine
interfaces 120A-N via the network. The request handler module 302 is further configured
to capture the plurality of program execution parameters transmitted by the plurality
of controller device 108A-N.
[0060] The controller device selector module 304 is configured for determining the second
controller device 108B to execute the fail-safe logic associated with the first controller
device.
[0061] The analysis module 306 is configured for analyzing the plurality of program execution
parameters to determine teh error state in the first controller devices.
[0062] The modifier module 308 is configured for modifying the fail-safe logic before transmitting
the fail-safe logic to the second programmable logic control 108B.
[0063] The engineering object database 310 is configured for generating an engineering object
library comprising the plurality of fail-safe logics, information about the plurality
of field devices 126A-N, physical connections between the plurality of field devices
126A-N, and the plurality of controller devices 108A-N.
[0064] The validation module 312 is configured to validate the engineering program which
is executed by the plurality of controller devices 108A-N. The validation module 312
is configured to simulate execution of the plurality of controller devices 108A-N
[0065] The deployment module 314 is configured for deploying the fail-safe logic associated
with the first controller device 108A, to the second controller device 108B.
[0066] FIGS 4A-D show a process flowchart illustrating an exemplary method 400 of managing
the technical installation during an error state of the controller device according
to an embodiment of the present invention. FIG. 4A-E is explained in conjunction with
FIGs 1 to 3.
[0067] At 402, the Plant safety administrator module 112 causes the processing unit 202
to receive a plurality of program execution parameters from each of the plurality
of controller devices 108A-N in the technical installation. The plurality of program
execution parameters, received from a controller device, comprises information about
runtime execution of an engineering program in the controller device. For example,
the plurality of program execution parameters comprises runtime information such as
information about memory fragmentation, scan cycle nature, system resource utilization,
and memory utilization of the controller device during the execution of the engineering
program in the controller device. The engineering program comprises a plurality of
programming blocks, each of which comprises one or more programming instructions.
In one example, the engineering program is a graphical program comprising a program
logic. The engineering program comprises a set of programmable instructions or statements
corresponding to the program logic. Each programming block of the plurality of programming
blocks corresponds to a function block under an engineering design of the technical
installation 106.
[0068] At 404 the Plant safety administrator module 112 further causes the processing unit
202 to determine an error state in the first controller device 108A of the plurality
of controller devices 108A-N. The error state is determined based on an analysis of
the received plurality of program execution parameters. The first controller device
108A is determined to be in the error state in a case where the first controller device
108A has halted the execution of the engineering program. In one example, the processing
unit 202 is configured to compare one or more program execution parameters of the
received plurality of program execution parameters with one or more thresholds stored
in a memory such as the accessible memory 204. The one or more program execution parameters
are received from the first controller device 108A during execution of the engineering
program in the first programable logic controller 108A. In a case where the one or
more program execution parameters crosses the one or more thresholds, then the first
controller device 108A is determined to be in the error state. In another example,
the processing unit 202 is configured to apply a pattern recognition machine learning
model on the one or more program execution parameters to determine the error state
in the first controller device 108A. To train the pattern recognition machine learning
model, historical data comprising a set of program execution parameters received from
the plurality of controller devices during a specific time interval is analyzed by
the processing unit 202. The processing unit 202 is further configured to identify
a plurality of patterns in the set of program execution parameters based on the analysis.
Furthermore, the processing unit 202 is further configured to identify a plurality
of relationships between the set of program execution parameters and an error state
of one or more controller devices of the plurality of controller devices 108A-N. Thus,
the pattern recognition machine learning model is configured to recognize the plurality
of patterns in the plurality of program execution parameters and determine that the
first controller device 108A is in the error state. Examples of the pattern recognition
machine learning model includes but is not limited to a supervised learning model,
and an unsupervised learning model.
[0069] At 406 the Plant safety administrator module 112 further causes the processing unit
202 to determine from a plurality of fail-safe logic a fail-safe logic associated
with the first controller device based on the determination of the error state in
the first controller device. In one example, each fail-safe logic of the plurality
of fail-safe logics has an identification number which denotes a controller device
which is associated with the fail-safe logic. Thus, the processing unit 202 is configured
to determine the fail-safe logic based on an identification number of the fail-safe
logic which matches with an identification number of the first controller device.
In one example, the plurality of fail-safe logic comprises a plurality of programming
instructions which are configured to manage the plurality of field devices 126AN in
the technical installation 106. Each fail-safe logic of the plurality of fail-safe
logics is associated with a specific controller device of the plurality of controller
devices 108A-N. The fail-safe logic associated with the first controller device 108A
comprises a set of programming instructions which are configured to manage one or
more field devices (126A and 126B) which are controlled by the first programming logic
controller 108A. The fail-safe logic may be executed any of the plurality of controller
devices 108A-N to manage the one or more field devices 126A and 126B.
[0070] At 408 the Plant safety administrator module 112 further causes the processing unit
202 to determine that the second controller device 108B is not in an error state based
on the analysis of the received plurality of program execution parameters. For example,
in a case where one or more program execution parameters of the second controller
device 108B does not cross the one or more thresholds, then the second controller
device 108B is determined to be not in the error state. In another example, the second
controller device 108B is determined to be not in the error state by the pattern recognition
machine learning model.
[0071] At 410 the Plant safety administrator module 112 further causes the processing unit
202 to transmit the fail-safe logic to the second controller device 108B based on
the determination that the second controller device 108B is not in the error state.
The processing unit 202 is configured to transmit the determined fail-safe logic to
the second controller device 108B via the network 104.
[0072] At 412 the Plant safety administrator module 112 further causes the processing unit
202 to establish a connection path between the second controller device 108B and the
one or more field devices (126A and 126B) associated with the first controller device
108A. In one example, the processing unit 202 is configured to establish the connection
path via the network 104.
[0073] At 414 the Plant safety administrator module 112 further causes the processing unit
202 to initiate the execution of the fail-safe logic associated with the first controller
device 108A, in the second controller device 108B of the plurality of controller devices
108A-N. For example, the processing unit 202 is configured to transmit a request to
the second controller device 108B via the network 104. The request is to initiate
the execution of the fail-safe logic in the second programmable controller 108B.
[0074] At 416 the Plant safety administrator module 112 further causes the processing unit
202 to halt a runtime of the first controller device 108A based on the determination
of the error state of the first controller device 108A. In one example, the processing
unit is configured to transmit a halt command to the first controller device 108A
to halt the runtime of the first controller device 108A. In one example, when the
first controller device 108A is halted, the first controller device 108A terminates
the execution of the engineering program.
[0075] At 418 the Plant safety administrator module 112 further causes the processing unit
202 to halt the one or more field devices (126A and 126B) based on the determination
of the error state in the first controller device 108A. In one example, when the one
or more field devices (126A and 126B) are halted, a functioning of the one or more
field devices (126A and 126B) is stopped. Furthermore, the processing unit 202 is
further configured to notify the user that the first controller device 108A is in
error state. Furthermore, the user is enabled to resolve the error state of the first
controller device 108A by debugging the engineering program.
[0076] At 420 the Plant safety administrator module 112 further causes the processing unit
202 to determine that the error state of the first controller device is resolved based
on an analysis of the received plurality of program execution parameters. To determine
that the error state is resolved, the processing unit 202 is configured to determine
that the received plurality of program execution parameters is within the plurality
of thresholds.
[0077] At 422 the Plant safety administrator module 112 further causes the processing unit
202 to resume the runtime of the first controller device 108A based on the determination
that the error state of the first controller device 108A is resolved. In a case where
is it is determined that the error state is resolved, the processing unit 202 is configured
to transmit a trigger to the first controller device 108A to resume the runtime execution
of the engineering program.
[0078] At 424 the Plant safety administrator module 112 further causes the processing unit
202 to determine a count of times in which the error state is determined in the first
controller device 108A during a time interval. At 426 the Plant safety administrator
module 112 further causes the processing unit 202 to notify a user about the determined
count of times via the plurality of human machine interfaces 120A-N.
[0079] In one example, the plurality of program execution parameters comprises information
about a programming block, of the engineering program, which is executed by the first
controller device 108A at a specific time interval. At 428 the Plant safety administrator
module 112 further causes the processing unit 202 to determine a programming block
of an engineering program which is executed by the first controller device 108A at
the specific time interval based on the analysis of the plurality of program execution
parameters.
[0080] At 430 the Plant safety administrator module 112 further causes the processing unit
202 to determine whether the error state occurred, in the first controller device
108A, during an execution of the determined programming block. At 432 the Plant safety
administrator module 112 further causes the processing unit 202 to notify the user
that the error state, occurred in the first controller device, during the execution
of the determined programming block by the first controller device 108A.
[0081] At 434 the Plant safety administrator module 112 further causes the processing unit
202 to execute a handling logic to control the one or more field devices 126A-B in
an event when the error state is determined in the first programable logic controller
108A. The handling logic comprises a set of programming instructions which are configured
to manage one or more field devices which are controlled by the first programming
logic controller. The handling logic is executable by the processing unit 202.
[0082] The present invention can take a form of a computer program product comprising program
modules accessible from computer-usable or computer-readable medium storing program
code for use by or in connection with one or more computers, processors, or instruction
execution system. For the purpose of this description, a computer-usable or computer-readable
medium can be any apparatus that can contain, store, communicate, propagate, or transport
the program for use by or in connection with the instruction execution system, apparatus,
or device. The medium can be electronic, magnetic, optical, electromagnetic, infrared,
or semiconductor system (or apparatus or device) or a propagation mediums in and of
themselves as signal carriers are not included in the definition of physical computer-readable
medium include a semiconductor or solid state memory, magnetic tape, a removable computer
diskette, random access memory (RAM), a read only memory (ROM), a rigid magnetic disk
and optical disk such as compact disk read-only memory (CD-ROM), compact disk read/write,
and DVD. Both processors and program code for implementing each aspect of the technology
can be centralized or distributed (or a combination thereof) as known to those skilled
in the art.
[0083] While the present invention has been described in detail with reference to certain
embodiments, it should be appreciated that the present invention is not limited to
those embodiments. In view of the present disclosure, many modifications and variations
would be present themselves, to those skilled in the art without departing from the
scope of the various embodiments of the present invention, as described herein. The
scope of the present invention is, therefore, indicated by the following claims rather
than by the foregoing description. All changes, modifications, and variations coming
within the meaning and range of equivalency of the claims are to be considered within
their scope. All advantageous embodiments claimed in method claims may also be apply
to system/apparatus claims.
List of used reference symbol
[0084]
- 100
- industrial environment
- 102
- engineering system
- 104
- network
- 108A-N
- engineering objects
- 110
- platform
- 112
- plant safety administrator module
- 114
- server
- 116
- network interface
- 118
- database
- 120A-N
- client devices
- 124
- controller device
- 126
- digital twin
- 126A-N
- plurality of field devices
- 202
- processor(s)
- 204
- accessible memory
- 206
- storage unit
- 208
- communication interface
- 210
- input-output unit
- 212
- network interface
- 214
- bus
- 216
- integrated development environment (IDE)
- 302
- request handler module
- 304
- programmable logic controller selector module
- 306
- analysis module
- 308
- modifier module
- 310
- engineering object database
- 312
- validation module
- 314
- deployment module
1. A method of managing a technical installation (106) during occurrence of an error
state in a controller device (108A) of the technical installation (106), the method
comprising:
receiving, by a processing unit (202), a plurality of program execution parameters
from each of a plurality of controller devices (108A-N) in the technical installation
(106);
determining, by the processing unit (202), an error state in a first controller device
(108A) of the plurality of controller devices (108A-N), wherein the error state is
determined based on an analysis of the received plurality of program execution parameters;
determining from a plurality of fail-safe logics, by the processing unit (202), a
fail-safe logic associated with the first controller device (108A) based on the determination
of the error state in the first controller device (108A); and
initiating, by the processing unit (202), an execution of the fail-safe logic associated
with the first controller device (108A), in a second controller device (108B) of the
plurality of controller devices (108-N).
2. The method according to claim 1, wherein the technical installation further comprises
one or more field devices (126A-B) which are controlled by the first controller device.
3. The method according to any of the preceding claims, wherein initiating, by the processing
unit (202), the execution of the fail-safe logic in the second controller device (108B)
comprises:
determining, by the processing unit (202), that the second controller device (108B)
is not in an error state based on the analysis of the received program execution parameters;
transmitting, by the processing unit (202), the fail-safe logic to the second controller
device (108B) based on the determination that the second controller device is not
in the error state; and
establishing, by the processing unit (202), a connection between the second controller
device (108B) and the one or more field devices associated with the first controller
device.
4. The method according to any of the preceding claims, further comprising:
halting, by the processing unit (202), an execution of the engineering program in
the first controller device based on the determination of the error state of the first
controller device (108A).
5. The method according to any of the claims 2 to 4, further comprising:
halting, by the processing unit (202), an execution of the first controller device
(108A) based on the determination of the error state of the first controller device
(108A).
6. The method according to claim 5, further comprising:
halting, by the processing unit (202), the one or more field devices (126A-B) based
on the determination of the error state in the first controller device (108A);
determining, by the processing unit (202), that the error state of the first controller
device (108A) is resolved, wherein a resolution of the error state is determined based
on an analysis of the received plurality of program execution parameters; and
resuming, by the processing unit (202), the runtime of the first controller device
(108A) based on the determination that the error state of the first controller device
(108A) is resolved.
7. The method according to any of the preceding claims, further comprising:
determining, by the processing unit (202), a count of times in which the error state
is determined in the first controller device 108A during a time interval; and
notifying, by the processing unit (202), a user about the determined count of times.
8. The method according to any of the preceding claims, further comprising:
determining, by the processing unit (202), a programming block of an engineering program
which is executed by the first controller device 108A based on the analysis of the
program execution parameters;
determining, by the processing unit (202), whether the error state is determined in
the first controller device during an execution of the determined programming block;
and
notifying, by the processing unit (202), a user that the error state is determined
in the first controller device 108A during the execution of the determined programming
block by the first controller device 108A.
9. The method according to any of the preceding claims, further comprising:
executing, by the processing unit (202), a handling logic to control the one or more
field devices (126A-B) in an event when the error state is determined in the first
programable logic controller 108A.
10. An industrial control system (102) for managing a technical installation during occurrence
of an error state in a controller device, in particular by employing a method according
to any of the preceding claims 1 to 9, wherein the industrial control system (102)
comprises:
a processing unit (202); and
a memory (204) coupled to the processing unit (202), wherein the memory comprises
a Plant safety administrator module (112) stored in the form of machine-readable instructions
executable by the one or more processor (s), wherein the plant safety administrator
module (112) is capable of performing a method according to any of the claims 1-9.
11. An industrial environment (100), the industrial environment (100) comprising:
an industrial control system (102) as claimed in claim 10;
a technical installation (106) comprising one or more physical components; and
a plurality of human machine interfaces (120A-N) communicatively coupled to the industrial
control system (102) via a network (104), wherein the industrial control system (102)
is configured to perform a method according to any of the claims 1 to 9.
12. A computer-program product, having machine-readable instructions stored therein, that
when executed by a processing unit (202), cause the processors to perform a method
according to any of the claims 1-9.